搜索结果: 1-7 共查到“计算语言学 Discourse”相关记录7条 . 查询时间(0.031 秒)
Reflections on the Penn Discourse TreeBank,Comparable Corpora,and Complementary Annotation
Penn Discourse TreeBank Comparable Corpora Complementary Annotation
2015/9/14
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manually annotated corpus of discourse relations to date. Its focus on discourse relations that are either...
Sentence compression holds promise for many applications ranging from summarization to subtitle generation. The task is typically performed on isolated sentences without taking the surrounding context...
Evaluating Discourse and Dialogue Coding Schemes
Evaluating Discourse Dialogue Coding Schemes
2015/8/31
Agreement statistics play an important role in the evaluation of coding schemes for discourse and dialogue. Unfortunately there is a lack of understanding regarding appropriate agreement measures and ...
Representing Discourse Coherence: A Corpus-Based Study
Corpus-Based Study Discourse Coherence:
2015/8/31
This article aims to present a set of discourse structure relations that are easy to code and to
develop criteria for an appropriate data structure for representing these relations. Discourse
struct...
We argue in this article that many common adverbial phrases generally taken to signal a discourse
relation between syntactically connected units within discourse structure instead work anaphorically ...
The Theory and Practice of Discourse Parsing and Summarization
Theory and Practice Discourse Parsing Summarization
2015/8/27
Marcu’s monograph is based on his Ph.D. thesis—research carried out at the Department of Computer Science, University of Toronto—and subsequent work conducted at the Information Sciences Institute, Un...
Does working memory capacity affect the ability to predict upcoming words in discourse?
EEG ERP Language Prediction Working memory capacity Reading span
2015/4/7
Prior research has indicated that readers and listeners can use information in the prior discourse to rapidly predict specific upcoming words, as the text is unfolding. Here we used event-related pote...