---
title: "Wei Hong Xu — papers of 2015 — 5 papers, the most cited first"
description: "Wei Hong Xu — papers of 2015: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Wei Hong Xu — papers of 2015 — 5 papers, the most cited first

5 papers · [all years of Wei Hong Xu](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/#years)

- [Bidirectional LSTM-CRF Models for Sequence Tagging arXiv:1508.01991](https://md.research.elamur.ai/free/en/papers/huang-2015-bidirectional-lstm-crf-models-sequence/) — Zhiheng Huang, Wei Xu, Kai Yu · 2015 · 3,822 citations

**[Problems in Current Text Simplification Research: New Data Can Help](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Wei Xu, Chris Callison-Burch, Courtney Napoles*2015 · 659 citations*

**[End-to-end learning of semantic role labeling using recurrent neural networks](https://md.research.elamur.ai/free/en/papers/zhou-2015-end-end-learning-semantic-role/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jie Zhou, Wei Xu*2015 · 466 citations*

**[Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.*2015 · 286 citations*

**[SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 231 citations*
