Pranav Anand

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A growing body of work has highlighted the challenges of identifying the stance a speaker holds towards a particular topic, a task that involves identifying a holistic subjective disposition. We examine stance classification on a corpus of 4873 posts across 14 topics on ConvinceMe.net, ranging from the playful to the ideological. We show that ideological(More)
Deliberative, argumentative discourse is an important component of opinion formation, belief revision, and knowledge discovery; it is a cornerstone of modern civil society. Argumentation is productively studied in branches ranging from theoretical artificial intelligence to political rhetoric, but empirical analysis has suffered from a lack of freely(More)
The recent proliferation of political and social forums has given rise to a wealth of freely accessible naturalistic arguments. People can “talk” to anyone they want, at any time, in any location, about any topic. Here we use a Mechanical Turk annotated corpus of forum discussions as a gold standard for the recognition of disagreement in online ideological(More)
Public debate functions as a forum for both expressing and forming opinions, an important aspect of public life. We present results for automatically classifying posts in online debate as to the position, or STANCE that the speaker takes on an issue, such as Pro or Con. We show that representing the dialogic structure of the debates in terms of agreement(More)
In this paper we analyze two question answering tasks : the TREC-8 question answering task and a set of reading comprehension exams. First, we show that Q/A systems perform better when there are multiple answer opportunities per question. Next, we analyze common approaches to two subproblems: term overlap for answer sentence identification, and answer(More)
Lewis (1976, 1986b) concentrates on material conditionals, arguing that their semantic values are propositional but that their pragmatic values are given by conditional subjective probabilities. Thus, from the start, the general theses (1) were linked to close linguistic analysis involving both semantic and pragmatic considerations. One comes away from(More)
Recent work on evaluativity or sentiment in the language sciences has focused on the contributions that lexical items provide. In this paper, we discuss contextual evaluativity, stance that is inferred from lexical meaning and pragmatic environments. Focusing on assessor-grounding claims likeWe liked him because he so clearly disliked Margaret Thatcher, we(More)
A growing body of work has highlighted the challenges of identifying the stance that a speaker holds towards a particular topic, a task that involves identifying a holistic subjective disposition. We examine stance classification on a corpus of 4873 posts from the debate website ConvinceMe.net, for 14 topics ranging from the playful to the ideological. We(More)
Large scale corpora have benefited many areas of research in natural language processing, but until recently, resources for dialogue have lagged behind. Now, with the emergence of large scale social media websites incorporating a threaded dialogue structure, content feedback, and self-annotation (such as stance labeling), there are valuable new corpora(More)
The EPP cannot be reduced to the Inverse Case Filter (contra Boskovic 2002) and remains for the moment axiomatic in phrase-marker construction. Feature-splitting, Agree, and the EPP allow for a range of derivational options that have been constrained by the Activity Condition (Chomsky 2001 et preq). The phenomenon of non-nominative subjects (including(More)