---
title: "Microsoft — works of 2015: 10 papers, the most cited first"
description: "10 works of Microsoft from 2015 in our library, the most cited first. Among them: Observed versus latent features for knowledge base and text…"
canonical: "https://research.elamur.ai/free/en/companies/microsoft/year/2015/"
---
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# Works of Microsoft from 2015

10 works · the most cited first · [← Microsoft](https://md.research.elamur.ai/free/en/companies/microsoft/)

1. **[Observed versus latent features for knowledge base and text inference](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/) [Workshop on Continuous Vector Space Models and their Compositionality](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/)**Kristina Toutanova, Danqi Chen*2015 · 1,238 citations*
2. **[WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-wikiqa-challenge-dataset-open-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Yang, Wen-tau Yih, Christopher Meek*2015 · 1,129 citations*
3. **[Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base](https://md.research.elamur.ai/free/en/papers/yih-2015-semantic-parsing-staged-query-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen-tau Yih, Ming-Wei Chang, Xiaodong He, et al.*2015 · 962 citations*
4. **[Representing Text for Joint Embedding of Text and Knowledge Bases](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kristina Toutanova, Danqi Chen, Patrick Pantel, et al.*2015 · 905 citations*
5. **[Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 466 citations*
6. **[Findings of the 2015 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 462 citations*
7. **[CLPsych 2015 Shared Task: Depression and PTSD on Twitter](https://md.research.elamur.ai/free/en/papers/coppersmith-2015-clpsych-2015-shared-task-depression/) [Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-linguistics-and-clinical-psychology-from-linguistic/)**Glen Coppersmith, Mark Dredze, Craig Harman, et al.*2015 · 415 citations*
8. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses arXiv:1506.06714**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 319 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
9. **[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 · 230 citations*
10. [**Detecting Interrogative Utterances with Recurrent Neural Networks arXiv:1511.01042**Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla*2015*](https://md.research.elamur.ai/free/en/papers/chung-2015-detecting-interrogative-utterances-recurrent-neural/)
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