2 |
Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
|
|
|
|
BASE
|
|
Show details
|
|
3 |
A Probabilistic Annotation Model for Crowdsourcing Coreference
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization
|
|
|
|
BASE
|
|
Show details
|
|
7 |
And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue ...
|
|
|
|
Abstract:
The use of irony and sarcasm in social media allows us to study them at scale for the first time. However, their diversity has made it difficult to construct a high-quality corpus of sarcasm in dialogue. Here, we describe the process of creating a large- scale, highly-diverse corpus of online debate forums dialogue, and our novel methods for operationalizing classes of sarcasm in the form of rhetorical questions and hyperbole. We show that we can use lexico-syntactic cues to reliably retrieve sarcastic utterances with high accuracy. To demonstrate the properties and quality of our corpus, we conduct supervised learning experiments with simple features, and show that we achieve both higher precision and F than previous work on sarcasm in debate forums dialogue. We apply a weakly-supervised linguistic pattern learner and qualitatively analyze the linguistic differences in each class. ... : 11 pages, 4 figures, SIGDIAL 2016 ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.1709.05404 https://arxiv.org/abs/1709.05404
|
|
BASE
|
|
Hide details
|
|
11 |
Domain-specific coreference resolution with lexicalized features
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Conundrums in noun phrase coreference resolution: making sense of the state-of-the-art
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Toward completeness in concept extraction and classification
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Corpus-based semantic lexicon induction with web-based corroboration
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Unified model of phrasal and sentential evidence for information extraction
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Semantic class learning from the web with hyponym pattern linkage graphs
|
|
|
|
BASE
|
|
Show details
|
|
|
|