Дискурс туралы ақпарат

We investigate whether one can determine from the transcripts of U.S. Congressional floor debates whether the speeches repre- sent support of or opposition to proposed legislation. To address this problem, …...

Polarity classification of opinionated sen- tences with both positive and negative senti- ments1 is a key challenge in sentiment anal- ysis. This paper presents a novel unsuper- vised method for …...

Previous work on paraphrase extraction us- ing parallel or comparable corpora has gener- ally not considered the documents’ discourse structure as a useful information source. We propose a novel method …...

We propose a robust answer reranking model for non-factoid questions that inte- grates lexical semantics with discourse in- formation, driven by two representations of discourse: a shallow representation cen- tered …...

AbstractThe study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including sociology, psychology, economics, linguistics, and computer science. A number of excellent computational linguistics and linguistic surveys of the …...

AbstractLanguage models (LMs) trained on large quantities of text have been claimed to acquire abstract linguistic representations. Our work tests the robustness of these abstractions by focusing on the ability …...

AbstractPrevious work indicates that discourse information benefits summarization. In this paper, we explore whether this synergy between discourse and summarization is bidirectional, by inferring document-level discourse trees from pre-trained neural …...

AbstractIn this paper, we extend the line of BERTology work by focusing on the important, yet less explored, alignment of pre-trained and fine-tuned PLMs with large-scale discourse structures. We propose …...