Explicit Discourse Connectives / Implicit Discourse Relations
نویسندگان
چکیده
منابع مشابه
Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives
Discourse relation classification is an important component for automatic discourse parsing and natural language understanding. The performance bottleneck of a discourse parser comes from implicit discourse relations, whose discourse connectives are not overtly present. Explicit discourse connectives can potentially be exploited to collect more training data to collect more data and boost the p...
متن کاملTranslating Implicit Discourse Connectives Based on Cross-lingual Annotation and Alignment
Implicit discourse connectives and relations are distributed more widely in Chinese texts, when translating into English, such connectives are usually translated explicitly. Towards ChineseEnglish MT, in this paper we describe cross-lingual annotation and alignment of discourse connectives in a parallel corpus, describing related surveys and findings. We then conduct some evaluation experiments...
متن کاملCrosslingual Annotation and Analysis of Implicit Discourse Connectives for Machine Translation
Usage of discourse connectives (DCs) differs across languages, thus addition and omission of connectives are common in translation. We investigate how implicit (omitted) DCs in the source text impacts various machine translation (MT) systems, and whether a discourse parser is needed as a preprocessor to explicitate implicit DCs. Based on the manual annotation and alignment of 7266 pairs of disc...
متن کاملPredicting Discourse Connectives for Implicit Discourse Relation Recognition
Existing works indicate that the absence of explicit discourse connectives makes it difficult to recognize implicit discourse relations. In this paper we attempt to overcome this difficulty for implicit relation recognition by automatically inserting discourse connectives between arguments with the use of a language model. Then we propose two algorithms to use these predicted connectives. One i...
متن کاملEasily Identifiable Discourse Relations
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a large manually annotated corpus of explicitly or implicitly realized relations. We show that while there is a large degree of ambiguity in temporal explicit discourse connectives, overall connectives are mostly unambiguous and allow high-accuracy prediction of discourse relation type. We achieve 93.0...
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