---
title: "Vera Demberg — papers of 2019 — 5 papers, the most cited first"
description: "Vera Demberg — papers of 2019: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Vera Demberg — papers of 2019 — 5 papers, the most cited first

5 papers · [all years of Vera Demberg](https://md.research.elamur.ai/free/en/authors/vera-demberg/#years)

**[Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains](https://md.research.elamur.ai/free/en/papers/shi-2019-next-sentence-prediction-helps-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Shi, Vera Demberg*2019 · 134 citations*

**[Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task](https://md.research.elamur.ai/free/en/papers/yung-2019-crowdsourcing-discourse-relation-annotations-two/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Frances Yung, Vera Demberg, Merel Scholman*2019 · 39 citations*

**[How compatible are our discourse annotation frameworks? Insights from mapping RST-DT and PDTB annotations](https://md.research.elamur.ai/free/en/papers/demberg-2019-how-compatible-are-our-discourse/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Vera Demberg, Merel C.J. Scholman, Fatemeh Torabi Asr*2019 · 36 citations*

**[Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-learning-explicitate-connectives-seq2seq-network/) [International Conference on Computational Semantics – Long Papers](https://md.research.elamur.ai/free/en/venues/international-conference-on-computational-semantics-long-papers/)**Wei Shi, Vera Demberg*2019 · 36 citations*

**[Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/) [Workshop on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-relation-parsing-and-treebanking/)**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations*