The Hindi Discourse Relation Bank
نویسندگان
چکیده
We describe the Hindi Discourse Relation Bank project, aimed at developing a large corpus annotated with discourse relations. We adopt the lexically grounded approach of the Penn Discourse Treebank, and describe our classification of Hindi discourse connectives, our modifications to the sense classification of discourse relations, and some crosslinguistic comparisons based on some initial annotations carried out so far.
منابع مشابه
Towards an Annotated Corpus of Discourse Relations in Hindi
We describe our initial efforts towards developing a large-scale corpus of Hindi texts annotated with discourse relations. Adopting the lexically grounded approach of the Penn Discourse Treebank (PDTB), we present a preliminary analysis of discourse connectives in a small corpus. We describe how discourse connectives are represented in the sentence-level dependency annotation in Hindi, and disc...
متن کاملEvaluation of Discourse Relation Annotation in the Hindi Discourse Relation Bank
We describe our experiments on evaluating recently proposed modifications to the discourse relation annotation scheme of the Penn Discourse Treebank (PDTB), in the context of annotating discourse relations in Hindi Discourse Relation Bank (HDRB). While the proposed modifications were driven by the desire to introduce greater conceptual clarity in the PDTB scheme and to facilitate better annotat...
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In the Hindi Discourse Relation Bank (HDRB) project, we are developing a large corpus annotated with discourse relations, such as causal, temporal, contrastive and conjunctive relations. Adopting the lexically grounded approach of the Penn Discourse Treebank (PDTB), we annotate the argument structure of both explicit and implicit discourse relations, as well as the senses of relations. We descr...
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Discourse parsing is a challenging task in NLP and plays a crucial role in discourse analysis. To enable discourse analysis for Hindi, Hindi Discourse Relations Bank was created on a subset of Hindi TreeBank. The benefits of a discourse analyzer in automated discourse analysis, question summarization and question answering domains has motivated us to begin work on a discourse analyzer for Hindi...
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With recent developments in web technologies, percentage of web content in Hindi language is growing up at a lightning speed. Opinion classification research has gained tremendous momentum in recent times mostly for English language. However, there has been little work in this area for Indian languages. There is a need to analyse the Hindi language content and get insight of opinions expressed ...
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