activity
20102022
most citedNeural Machine Translation by Jointly Learning to Align and Translate

14.5k citations · 90.1k across the 347 of their papers we have counts for

collaborators
Showing 2018 · cs.CLShow all

7 papers · 2 filters

cs.CL2018★ 113 cited

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Zhilin Yang, Peng Qi, Saizheng Zhang +4

Existing question answering (QA) datasets fail to train QA systems to perform complex reasoning and provide explanations for answers. We introduce HotpotQA, a new dataset with 113k…

cs.CL2018★ 2 cited

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance

Yikang Shen, Zhouhan Lin, Athul Paul Jacob +3

In this work, we propose a novel constituency parsing scheme. The model predicts a vector of real-valued scalars, named syntactic distances, for each split position in the input se…

cs.CL2018

Commonsense mining as knowledge base completion? A study on the impact of novelty

Stanisław Jastrzębski, Dzmitry Bahdanau, Seyedarian Hosseini +3

Commonsense knowledge bases such as ConceptNet represent knowledge in the form of relational triples. Inspired by the recent work by Li et al., we analyse if knowledge base complet…

cs.CL2018

Fine-Grained Attention Mechanism for Neural Machine Translation

Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio

Neural machine translation (NMT) has been a new paradigm in machine translation, and the attention mechanism has become the dominant approach with the state-of-the-art records in m…

cs.CL2018★ 99 cited

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Sandeep Subramanian, Adam Trischler, Yoshua Bengio +1

A lot of the recent success in natural language processing (NLP) has been driven by distributed vector representations of words trained on large amounts of text in an unsupervised…

cs.CL2018

Towards end-to-end spoken language understanding

Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen +3

Spoken language understanding system is traditionally designed as a pipeline of a number of components. First, the audio signal is processed by an automatic speech recognizer for t…