The nature of the sales manager/salesperson relationship is examined. Our study investigates the level of agreement between sales managers and salespeople on the importance of the salesperson having specific internal virtues in order to do their job properly. Unlike external virtues that can be codified into codes of conduct, internal virtues are traits that cannot be codified but rather are part of the spiritual makeup of the person. Findings suggest that the level of agreement between sales managers and salespeople in (...) this area drives satisfaction with the sales manager and organizational commitment. Further, contrary to studies which use a summated job satisfaction measure, which consists of several facets of job satisfaction, satisfaction with the sales manager has a direct relationship with turnover intent. (shrink)

We present a new modeling framework for recognition memory and repetition priming based on signal detection theory. We use this framework to specify and test the predictions of 4 models: (a) a single-system (SS) model, in which one continuous memory signal drives recognition and priming; (b) a multiple-systems-1 (MS1) model, in which completely independent memory signals (such as explicit and implicit memory) drive recognition and priming; (c) a multiple-systems-2 (MS2) model, in which there are also 2 memory signals, but some (...) degree of dependence is allowed between these 2 signals (and this model subsumes the SS and MS1 models as special cases); and (d) a dual-process signal detection (DPSD1) model, 1 possible extension of a dual-process theory of recognition (Yonelinas, 1994) to priming, in which a signal detection model is augmented by an independent recollection process. The predictions of the models are tested in a continuous-identification-with-recognition paradigm in both normal adults (Experiments 1–3) and amnesic individuals (using data from Conroy, Hopkins, & Squire,2005). The SS model predicted numerous results in advance. These were not predicted by the MS1 model, though could be accommodated by the more flexible MS2 model. Importantly, measures of overall model fit favored the SS model over the others. These results illustrate a new, formal approach to testing theories of explicit and implicit memory. (shrink)

Throughout, there are many case histories to illustrate the text.

We have only limited awareness of the system by which we control our actions and this limited awareness does not seem to be concerned with the control of action. Awareness of choosing one action rather than another comes after the choice has been made, while awareness of initiating an action occurs before the movement has begun. These temporal differences bind together in consciousness the intention to act and the consequences of the action. This creates our sense of agency. Activity in (...) the anterior cingulate cortex and medial prefrontal cortex is associated with awareness of our own actions and also occurs when we think about the actions of others. I propose that the mechanism underlying awareness of how our own intentions lead to actions can also be used to represent the intentions that underlie the actions of others. This common system enables us to communicate mental states and thereby share our experiences. (shrink)

This paper presents the first use of a computational model of natural logic—a system of logical inference which operates over natural language—for textual inference. Most current approaches to the PAS- CAL RTE textual inference task achieve robustness by sacrificing semantic precision; while broadly effective, they are easily confounded by ubiquitous inferences involving monotonicity. At the other extreme, systems which rely on first-order logic and theorem proving are precise, but excessively brittle. This work aims at a middle way. Our system finds (...) a low-cost edit sequence which transforms the premise into the hypothesis; learns to classify entailment relations across atomic edits; and composes atomic entailments into a top-level entailment judgment. We provide the first reported results for any system on the FraCaS test suite. We also evaluate on RTE3 data, and show that hybridizing an existing RTE system with our natural logic system yields significant performance gains. (shrink)

We present a system for deciding whether a given sentence can be inferred from text. Each sentence is represented as a directed graph (extracted from a dependency parser) in which the nodes represent words or phrases, and the links represent syntactic and semantic relationships. We develop a learned graph matching model to approximate entailment by the amount of the sentence’s semantic content which is contained in the text. We present results on the Recognizing Textual Entailment dataset (Dagan et al., 2005), (...) and show that our approach outperforms Bag- Of-Words and TF-IDF models. (shrink)

In this book, Christopher D. Rodkey asks how the brain worships and responds by engaging ideas from neurological science, philosophy, ritual theory, and religious education. The Synaptic Gospel will prove to be a useful theoretical tool for pastors, religious educators, youth ministers, church music professionals, and seminary students.

Future practitioners of sustainable agriculture and agroecology must have the capacity to address the wicked problems in the food system to make progress toward sustainability. Undergraduate sustainable agriculture students from a variety of backgrounds may struggle with the question, is the challenging and complex work of addressing wicked problems of agroecology for me? Our case study investigated sociocultural tensions associated with identity encountered when wicked problems teaching units were integrated into the Advanced Practices of Sustainable Agriculture course at a large, (...) Midwestern Land Grant University. The research and course employed a four-part framework that focused on attending to individual needs and identities, facilitating practice-based and community-based learning, engaging in problems situated in regional contexts, and supporting awareness of local and global political and ecological issues. Researchers used a community of practice theoretical lens, and focused on the sociocultural tensions that may have impacted individual and community identity formation. Two wicked problems teaching units are described by drawing upon documentation and audio recordings from planning meetings, course sessions, student and instructor interviews, and course artifacts. Vignettes were constructed to situate four interrelated types of sociocultural tensions encountered by instructors and students. These tensions reflected forces at the individual, community, local, and global levels which interact to influence learners’ capacity to become full participants in sustainable agriculture. The study fills a gap related to affective dimensions of learning like identity in agroecology education. Dilemmas and implications related to identity, pedagogy, and epistemology are discussed. (shrink)

This paper examines the Stanford typed dependencies representation, which was designed to provide a straightforward description of grammatical relations for any user who could benefit from automatic text understanding. For such purposes, we argue that dependency schemes must follow a simple design and provide semantically contentful information, as well as offer an automatic procedure to extract the relations. We consider the underlying design principles of the Stanford scheme from this perspective, and compare it to the GR and PARC representations. Finally, (...) we address the question of the suitability of the Stanford scheme for parser evaluation. (shrink)

Linking constructions involving dሇ (DE) are ubiquitous in Chinese, and can be translated into English in many different ways. This is a major source of machine translation error, even when syntaxsensitive translation models are used. This paper explores how getting more information about the syntactic, semantic, and discourse context of uses of dሇ (DE) can facilitate producing an appropriate English translation strategy. We describe a finergrained classification of dሇ (DE) constructions in Chinese NPs, construct a corpus of annotated examples, and (...) then train a log-linear classifier, which contains linguistically inspired features. We use the DE classifier to preprocess MT data by explicitly labeling dሇ (DE) constructions, as well as reordering phrases, and show that our approach provides significant BLEU point gains on MT02 (+1.24), MT03 (+0.88) and MT05 (+1.49) on a phrasedbased system. The improvement persists when a hierarchical reordering model is applied. (shrink)

Christopher Frith is a research professor at the Functional Imaging Laboratory of the Wellcome Department of Imaging Neuroscience at University College, London. He explores, experimentally, using the techniques of functional brain imaging, the relationship between human consciousness and the brain. His research focuses on questions pertaining to perception, attention, control of action, free will, and awareness of our own mental states and those of others. As the following discussion makes clear, Frith investigates brain systems involved in the choice of (...) one action over another and in the understanding of other people. Such investigations are aimed at understanding brain basis of autism and schizophrenia. In his widely cited study of schizophrenia, The Cognitive Neuropsychology of Schizophrenia , Frith argues that many of the positive symptoms of schizophrenia, such as delusions of control, auditory hallucinations, and thought insertion, involve problems of self-monitoring. Patients, in effect, lose track of their own intentions and mistakenly attribute agency for their own actions to someone else. Frith employs models of motor control, involving comparator mechanisms and efference copy, not only to explain delusions that involve movement, but also to develop a neurocognitive explanation of delusional cognition. (shrink)

Examines the early development of psychology in ancient Greece and Rome, discussing how such individual concepts as thought, emotion, and will gradually evolved into what is now considered "the mind.".

Abeill´e and Godard (1994) seek to show that the rightward branching analysis of French tense auxiliaries shown in (1b), that I argued for in Manning (1992) and which is widely adopted in general, is wrong, and that rather we should adopt a flat analysis for this construction as shown in (1c), and they show how such an analysis can be realized within HPSG (Pollard and Sag 1994).

DURING THE PAST THIRTY YEARS, A GROWING CONVERSATION ABOUT THE "restorative" dimensions of justice in contrast to its "retributive" dimensions in addressing crime, wrongdoing, and cultural conflict has emerged around the world. In New Zealand, an initiative known as Family Group Conferencing has virtually replaced the conventional juvenile justice that preceded it. This initiative has inspired many people around the world to adapt that restorative approach in many different settings.

adjacent phrases, but they typically lack the ability to perform the kind of long-distance reorderings possible with syntax-based systems. In this paper, we present a novel hierarchical phrase reordering model aimed at improving non-local reorderings, which seamlessly integrates with a standard phrase-based system with little loss of computational efficiency. We show that this model can successfully handle the key examples often used to motivate syntax-based systems, such as the rotation of a prepositional phrase around a noun phrase. We contrast our (...) model with reordering models commonly used in phrase-based systems, and show that our approach provides statistically significant BLEU point gains for two language pairs: Chinese-English (+0.53 on MT05 and +0.71 on MT08) and Arabic-English (+0.55 on MT05). (shrink)

This volume reaches beyond the controversy surrounding the teaching and learning of evolution in the United States, specifically in regard to the culture, politics, and beliefs found in the Southeast. The editors argue that despite a deep history of conflict in the region surrounding evolution, there is a wealth of evolution research taking place—from biodiversity in species to cultural evolution and human development. In fact, scientists, educators, and researchers from around the United States have found their niche in the South, (...) where biodiversity is high, culture runs deep, and the pace is just a little bit slower. (shrink)

A desirable quality of a coreference resolution system is the ability to handle transitivity constraints, such that even if it places high likelihood on a particular mention being coreferent with each of two other mentions, it will also consider the likelihood of those two mentions being coreferent when making a final assignment. This is exactly the kind of constraint that integer linear programming (ILP) is ideal for, but, surprisingly, previous work applying ILP to coreference resolution has not encoded this type (...) of constraint. We train a coreference classifier over pairs of mentions, and show how to encode this type of constraint on top of the probabilities output from our pairwise classifier to extract the most probable legal entity assignments. We present results on two commonly used datasets which show that enforcement of transitive closure consistently improves performance, including improvements of up to 3.6% using the b3 scorer, and up to 16.5% using cluster f-measure. (shrink)

Skyrms has pointed out differences between the results of rational choice theory and evolutionary game theory. This commentary argues that there is a great deal of agreement on the Nash Bargaining Solution, which maximizes the product of player payoffs, in both rational-choice-based and evolution-based theories of equilibrium selection. While evolutionary game theory has the potential to explain how we arrive at the behavioural rules that govern what we do, realistic models will require calibration through laboratory experiments. Indeed, experimental evidence strongly (...) supports the Nash Bargaining Solution. (shrink)

In Lyon in 1497 Badius printed the Sentences questions and other material attributed to the Dominican Robert Holcot, active at Oxford in the early 1330s. It turns out that the so-called De imputabi...

I examine what would be necessary to move part-of-speech tagging performance from its current level of about 97.3% token accuracy (56% sentence accuracy) to close to 100% accuracy. I suggest that it must still be possible to greatly increase tagging performance and examine some useful improvements that have recently been made to the Stanford Part-of-Speech Tagger. However, an error analysis of some of the remaining errors suggests that there is limited further mileage to be had either from better machine learning (...) or better features in a discriminative sequence classifier. The prospects for further gains from semisupervised learning also seem quite limited. Rather, I suggest and begin to demonstrate that the largest opportunity for further progress comes from improving the taxonomic basis of the linguistic resources from which taggers are trained. That is, from improved descriptive linguistics. However, I conclude by suggesting that there are also limits to this process. The status of some words may not be able to be adequately captured by assigning them to one of a small number of categories. While conventions can be used in such cases to improve tagging consistency, they lack a strong linguistic basis. (shrink)

This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local dependencies, while being much more computationally efficient. NER systems typically use sequence models for tractable inference, but this makes them unable to capture the long distance structure present in text. We use a Conbel.

This book argues that the othering and criminalization of Black people in times of crisis is part of the religious meaning of America that fuels the problem of mass incarceration. The author develops a religious interpretation of the significance of these images to America’s political economy the produces the very problems we punish as a society.

The correct locus (or loci) of binding theory has been a matter of much discussion. Theories can be seen as varying along at least two dimensions. The rst is whether binding theory is con gurationally determined (that is, the theory exploits the geometry of a phrase marker, appealing to such purely structural notions as c-command and government) or whether the theory depends rather on examining the relations between items selected by a predicate (where by selection I am intending to cover (...) everything from semantic dependencies to syntactic subcategorization). The second is the level of grammar on which binding is de ned. Attempting to roughly equate levels across di erent theories, suggestions have included the semantics/lexical conceptual structure (Jackendo 1992), thematic structure (Jackendo 1972, Wilkins 1988), argument structure/D-structure/initial grammatical relations (Manning 1994, Belletti and Rizzi 1988, Perlmutter 1984), surface syntax/grammatical relations, logical form, linear order, pragmatics (Levinson 1991), and discourse (Iida 1992). The data is su ciently varied and complex that many theories end up as mixtures, variously employing a combination of elements along both dimensions (for instance, Chomsky (1986) relies purely on con gurational notions for the relationship between an anaphor and its antecedent, but uses concepts from selection in the de nition of the binding domain of an anaphor). LFG has always rejected a con gurational account of binding. For instancError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMapError: Illegal entry in bfrange block in ToUnicode CMape, Simpson (1991) argues that a con gurational theory of binding in Warlpiri cannot be maintained, among other reasons because nite clauses lack a VP.. (shrink)

Individualism is a popular cultural trope in the United States, often touted for its promotion of industriousness and rejection of laziness. This essay argues that, ironically, America’s brand of individualism actually promotes a more fundamental form of the very vice it purports to oppose. To make this case, the essay defines the unique form of individualism in the United States and then retrieves the classical definition of sloth as a vice against charity, contrasting Aquinas and Barth with Weber to demonstrate (...) that this peculiarly American individualist impulse undermines civic charity by reaping the benefits of civic relationships while denying any concomitant responsibilities. Identifying this narrative of individualism as a structural vice, the essay proposes structural remedies for reinvigorating civic charity, solidarity, and the common good in the United States. (shrink)

This paper distinguishes between epistemic and metaphysical problems of arbitrariness for vagueness. It argues that epistemicism can resolve the epistemic problem of arbitrariness but not the metaphysical one.

For the new generation of cognitive neuroscientists, the mind-brain problem is no longer a matter for philosophical speculation; how the mind links with the brain can be studied experimentally. The strength of this belief is demonstrated by a stream of popular science books purporting to show how consciousness emerges from the brain. In contrast, Sean Spence presents a rigorous, modest and wholly admirable discussion of the physiological underpinnings of free will. It is of particular importance that he brings to our (...) attention various phenomena associated with psychotic illnesses. It is generally agreed that schizophrenia has a biological basis. Yet the characteristic symptoms reflect disorders of self-awareness, especially in the experience of free will (delusions of control). It follows that studies of the physiological basis of psychotic symptoms (e.g. Silbersweig et al. 1995) must also increase our understanding of the physiological basis of free will. The test for any discussion of the mind-brain problem from a scientific stance is that it suggests new possibilities for experimental studies. I think a number of the points raised in this essay provide clear starting points for the development of such experiments. (shrink)

Originally published in 1972, Should Trees Have Standing? was a rallying point for the then burgeoning environmental movement, launching a worldwide debate on the basic nature of legal rights that reached the U.S. Supreme Court. Now, in the 35th anniversary edition of this remarkably influential book, Christopher D. Stone updates his original thesis and explores the impact his ideas have had on the courts, the academy, and society as a whole. At the heart of the book is an eminently (...) sensible, legally sound, and compelling argument that the environment should be granted legal rights. For the new edition, Stone explores a variety of recent cases and current events--and related topics such as climate change and protecting the oceans--providing a thoughtful survey of the past and an insightful glimpse at the future of the environmental movement. This enduring work continues to serve as the definitive statement as to why trees, oceans, animals, and the environment as a whole should be bestowed with legal rights, so that the voiceless elements in nature are protected for future generations. (shrink)

This report details experimental results of using stochastic disambiguation models for parsing sentences from the Redwoods treebank (Oepen et al., 2002). The goals of this paper are two-fold: (i) to report accuracy results on the more highly ambiguous latest version of the treebank, as compared to already published results achieved by the same stochastic models on a previous version of the corpus, and (ii) to present some newly developed models using features from the HPSG signs, as well as the MRS (...) dependency graphs. (shrink)

The alignment problem—establishing links between corresponding phrases in two related sentences—is as important in natural language inference (NLI) as it is in machine translation (MT). But the tools and techniques of MT alignment do not readily transfer to NLI, where one cannot assume semantic equivalence, and for which large volumes of bitext are lacking. We present a new NLI aligner, the MANLI system, designed to address these challenges. It uses a phrase-based alignment representation, exploits external lexical resources, and capitalizes on (...) a new set of supervised training data. We compare the performance of MANLI to existing NLI and MT aligners on an NLI alignment task over the well-known Recognizing Textual Entailment data. We show that MANLI significantly outperforms existing aligners, achieving gains of 6.2% in F1 over a representative NLI aligner and 10.5% over GIZA++. (shrink)

Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynamic programming parsers have restricted training and evaluation to artificially short sentences, we present the first general, featurerich discriminative parser, based on a conditional random field model, which has been successfully scaled to the full WSJ parsing data. Our efficiency is primarily due to the use of stochastic optimization techniques, as well as parallelization and chart prefiltering. On WSJ15, (...) we attain a state-of-the-art F-score of 90.9%, a 14% relative reduction in error over previous models, while being two orders of magnitude faster. On sentences of length 40, our system achieves an F-score of 89.0%, a 36% relative reduction in error over a generative baseline. (shrink)

MutL family proteins contain an N‐terminal ATPase domain (NTD), an unstructured interdomain linker, and a C‐terminal domain (CTD), which mediates constitutive dimerization between subunits and often contains an endonuclease active site. Most MutL homologs direct strand‐specific DNA mismatch repair by cleaving the error‐containing daughter DNA strand. The strand cleavage reaction is poorly understood; however, the structure of the endonuclease active site is consistent with a two‐ or three‐metal ion cleavage mechanism. A motif required for this endonuclease activity is present in (...) the unstructured linker of Mlh1 and is conserved in all eukaryotic Mlh1 proteins, except those from metamonads, which also lack the almost absolutely conserved Mlh1 C‐terminal phenylalanine‐glutamate‐arginine‐cysteine (FERC) sequence. We hypothesize that the cysteine in the FERC sequence is autoinhibitory, as it sequesters the active site. We further hypothesize that the evolutionary co‐occurrence of the conserved linker motif with the FERC sequence indicates a functional interaction, possibly by linker motif‐mediated displacement of the inhibitory cysteine. This role is consistent with available data for interactions between the linker motif with DNA and the CTDs in the vicinity of the active site. (shrink)

We present a novel algorithm for the fast computation of PageRank, a hyperlink-based estimate of the “importance” of Web pages. The original PageRank algorithm uses the Power Method to compute successive iterates that converge to the principal eigenvector of the Markov matrix representing the Web link graph. The algorithm presented here, called Quadratic Extrapolation, accelerates the convergence of the Power Method by periodically subtracting off estimates of the nonprincipal eigenvectors from the current iterate of the Power Method. In Quadratic Extrapolation, (...) we take advantage of the fact that the first eigenvalue of a Markov matrix is known to be 1 to compute the nonprincipal eigenvectors using successive iterates of the Power Method. Empirically, we show that using Quadratic Extrapolation speeds up PageRank computation by 50- 300% on a Web graph of 80 million nodes, with minimal overhead. (shrink)

1 Boolean retrieval 1 2 The term vocabulary and postings lists 19 3 Dictionaries and tolerant retrieval 49 4 Index construction 67 5 Index compression 85 6 Scoring, term weighting and the vector space model 109 7 Computing scores in a complete search system 135 8 Evaluation in information retrieval 151 9 Relevance feedback and query expansion 177 10 XML retrieval 195 11 Probabilistic information retrieval 219 12 Language models for information retrieval 237 13 Text classification and Naive Bayes 253 (...) 14 Vector space classification 289 15 Support vector machines and machine learning on documents 319 16 Flat clustering 349 17 Hierarchical clustering 377 18 Matrix decompositions and latent semantic indexing 403 19 Web search basics 421 20 Web crawling and indexes 443 21 Link analysis 461.. (shrink)