Results 51 to 60 of about 2,389,129 (358)
A computational guide to the dichotomy of features and constraints
A contentious issue in the Minimalist literature is whether certain phenomena are best described in terms of features or constraints. Building on recent work in mathematical linguistics, I argue that constraints and features are interchangeable in ...
Thomas Graf
doaj +2 more sources
Natural Language Processing and Computational Linguistics
away other aspects of information, such as the speaker’s empathy, distinction of old/new information, emphasis, and so on. To climb up the hierarchy led to loss of information in lower levels of representation. In Tsujii (1986), instead of mapping at the
Jun'ichi Tsujii
semanticscholar +1 more source
Discourse relations and conjoined VPs: automated sense recognition [PDF]
Sense classification of discourse relations is a sub-task of shallow discourse parsing. Discourse relations can occur both across sentences (inter-sentential) and within sentences (intra-sentential), and more than one discourse relation can hold between ...
Bonnie, Webber, Pyatkin, Valentina
core +1 more source
How prosody constitutes the actions of formulations in courtrooms
Based on the theoretical and methodological perspectives of Conversation Analysis and Interactional Linguistics, this study investigates how the prosodic feature pitch contributes to the formation and ascription of actions in court hearings, in ...
Ana Cristina Ostermann+2 more
doaj +1 more source
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on ...
Kristina Toutanova+3 more
semanticscholar +1 more source
Feature Projection for Improved Text Classification
In classification, there are usually some good features that are indicative of class labels. For example, in sentiment classification, words like good and nice are indicative of the positive sentiment and words like bad and terrible are indicative of the
Qi Qin, Wenpeng Hu, Bing Liu
semanticscholar +1 more source
Improving Topic Models with Latent Feature Word Representations [PDF]
Probabilistic topic models are widely used to discover latent topics in document collections, while latent feature vector representations of words have been used to obtain high performance in many NLP tasks.
Dat Quoc Nguyen+3 more
semanticscholar +1 more source
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors [PDF]
Motivations like domain adaptation, transfer learning, and feature learning have fueled interest in inducing embeddings for rare or unseen words, n-grams, synsets, and other textual features.
M. Khodak+5 more
semanticscholar +1 more source
Viable Dependency Parsing as Sequence Labeling [PDF]
We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, results suggested that the technique was ...
Gómez-Rodríguez, Carlos+2 more
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The Unaccusative Hypothesis (UH) has been extensively studied in linguistics, but, to date, it has not been tested by means of ERPs. The present study aimed to experimentally test the UH hypothesis in Basque and determine what the electrophysiological ...
Adam Zawiszewski+2 more
doaj +2 more sources