'Discourse relations' diaporamas de présentation

Temporal Information Extraction

Temporal Information Extraction. Inderjeet Mani imani@mitre.org. Outline. Introduction Linguistic Theories AI Theories Annotation Schemes Rule-based and machine-learning methods. Challenges Links. Motivation: Question-Answering. When is Ramadan this year?

1.28k views • 100 slides

Discourse Processing

2.02k views • 99 slides

Discourse Processing

996 views • 99 slides

What linguistic advantages do heritage language speakers have over second language learners?

What linguistic advantages do heritage language speakers have over second language learners?. Oksana Laleko (SUNY New Paltz) Maria Polinsky (Harvard) Seventh Heritage Language Research Institute Chicago, IL June 17-21. HLSs and L2 learners: Acquisition scenarios.

1.12k views • 89 slides

Modeling Discourse

Modeling Discourse. Outline. Identifying Discourse Structure Overview of PDTB Slides from UPenn PDTB parsing EMNLP Paper Classifying relation types Discourse GraphBank. Discourse Coherence. Reference Relations. Discourse Relations. Informational. Intentional.

705 views • 70 slides

Modeling Discourse

Modeling Discourse. Outline. Identifying Discourse Structure Overview of PDTB Slides from UPenn PDTB parsing EMNLP Paper Classifying relation types Discourse GraphBank. Discourse Coherence. Reference Relations. Discourse Relations. Informational. Intentional.

702 views • 70 slides

SOME ASPECTS OF TRANSITION FROM SENTENCE TO DISCOURSE

SOME ASPECTS OF TRANSITION FROM SENTENCE TO DISCOURSE. Aravind K. Joshi Department of Computer and Information Science and Institute for Research in Cognitive Science University of Pennsylvania Ankara, Turkey June 9 2011. Some Comments on Cognitive Science.

503 views • 35 slides

SOME ASPECTS OF TRANSITION FROM SENTENCE TO DISCOURSE

SOME ASPECTS OF TRANSITION FROM SENTENCE TO DISCOURSE. Aravind K. Joshi Department of Computer and Information Science and Institute for Research in Cognitive Science University of Pennsylvania Ankara, Turkey June 9 2011. Some Comments on Cognitive Science.

360 views • 35 slides

Anaphora and Discourse

Anaphora and Discourse. Miriam Butt October 2004. Pronoun Resolution . Pronoun Resolution is not easy: it involves a good understanding of the interaction between the syntax, semantics and pragmatics of a language. .

669 views • 34 slides

Anaphora and Discourse

Anaphora and Discourse. Miriam Butt October 2004. Pronoun Resolution. Pronoun Resolution is not easy: it involves a good understanding of the interaction between the syntax, semantics and pragmatics of a language.

368 views • 34 slides

448 views • 32 slides

Automatic sense prediction for implicit discourse relations in text

Automatic sense prediction for implicit discourse relations in text. Emily Pitler, Annie Louis, Ani Nenkova University of Pennsylvania ACL 2009. Implicit discourse relations. Explicit comparison I am in Singapore, but I live in the United States. Implicit comparison

438 views • 26 slides

Corpus-based Semantics of Concession

Corpus-based Semantics of Concession. Livio Robaldo. Department of Computer Science, University of Turin robaldo@di.unito.it. Eleni Miltsakaki. Institute for Research in Cognitive Science, UPenn elenimi@seas.upenn.edu. Alessia Bianchini.

315 views • 21 slides

WG2 PWI24617-5 SemAF - Discourse Structure

WG2 PWI24617-5 SemAF - Discourse Structure. 20101014, Berlin HASIDA Koiti hasida.k@aist.go.jp AIST, Japan. Introduction (Concerns). annotation, production, translation, etc. of documents discourse structures not only in linguistic content but also in (possibly silent) video, etc.

292 views • 20 slides

Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

Recognizing Implicit Discourse Relations in the Penn Discourse Treebank. Ziheng Lin, Min-Yen Kan, and Hwee Tou Ng Department of Computer Science National University of Singapore EMNLP 2009. Outline. Recognizing implicit discourse relations Related work Penn Discourse Treebank

371 views • 20 slides

Introduction to RST Rhetorical Structure Theory

906 views • 19 slides

Discourse Markers

Discourse Markers. Discourse & Dialogue CS 35900 November 25, 2006. Agenda. Definition Motivation Understanding Discourse Markers in Human-Human Dialogue Using Discourse Markers in HCI Structuring instructions Improving recognition Recognizing conversational and dialogue acts.

898 views • 16 slides

Discourse Markers

Discourse Markers. Discourse & Dialogue CS 35900 November 25, 2006. Agenda. Definition Motivation Understanding Discourse Markers in Human-Human Dialogue Using Discourse Markers in HCI Structuring instructions Improving recognition Recognizing conversational and dialogue acts.

200 views • 16 slides

INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING

ICON 2003. INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING. NLP-AI IIIT-Hyderabad CIIL, Mysore. 19-22 DECEMBER, 2003. Computational Linguistics: HOW ONE FEEDS THE OTHER. We can study anything about language ... 1. Formalize some insights 2. Study the formalism mathematically

126 views • 12 slides