Publications

  • Sankaran, B., Sarkar, A., & Duh, K. (2013). Multi-Metric Optimization Using Ensemble Tuning. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 947–957). Atlanta, Georgia: Association for Computational Linguistics.
  • Siahbani, M., Sankaran, B., & Sarkar, A. (2013). Efficient Left-to-Right Hierarchical Phrase-Based Translation with Improved Reordering. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (pp. 1089–1099). Seattle, Washington, USA: Association for Computational Linguistics.
  • Razmara, M., & Sarkar, A. (2013). Stacking for Statistical Machine Translation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (pp. 334–339). Sofia, Bulgaria: Association for Computational Linguistics.
  • Razmara, M., Siahbani, M., Haffari, R., & Sarkar, A. (2013). Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 1105–1115). Sofia, Bulgaria: Association for Computational Linguistics.
  • Razmara, M., Siahbani, M., & Sarkar, A. (2013). Ensemble Triangulation for Statistical Machine Translation. In Proceedings of the 6th International Joint Conference on Natural Language Processing (pp. 252–260). Nagoya, Japan: Association for Computational Linguistics.

News

Summer Tutorial 3 - Bayesian Inference 18 Aug 2014

The topic of the lab meeting this week, Aug 20, is the Bayesian Inference. We are going to read following tutorial.
Bayesian Inference with Tears by Kevin Knight
Note that the meeting will be held in ASB 9921.

Kneser-Ney Smoothing on Expected Counts + Overview of Discourse 11 Aug 2014

Lab meeting on Wednesday, 13th of Aug, will be divided into two parts. First, Anoop will give a short talk on this paper:

Kneser-Ney Smoothing on Expected Counts. by Hui Zhang and David Chiang. ACL 2014

Widely used in speech and language processing, Kneser-Ney (KN) smoothing has consistently been shown to be one of the best-performing smoothing methods. However, KN smoothing assumes integer counts. In this paper, we propose a generalization of KN smoothing that operates on fractional counts, or, more precisely, on distributions over counts. We rederive all the steps of KN smoothing to operate on count distributions instead of integral counts.

And then Milan will give a quick overview of discourse and continue his talk from last week.The meeting will be at TASC1 9408 from 1100 hours.

Graph Based Semi-supervised + Ergonomics 22 Jul 2014

In this week’s lab meeting, July 22, Ramtin will give an overview of Graph-based Semi-supervised learning for NLP and MT. Then, Milan will give an FYI: Ergonomics presentation. The meeting will be at TASC1 9408 from 1100 hours.

Overview of Discourse 15 Jul 2014

In this week’s lab meeting, 16th of July, Milan will provide an overview of Discourse.The meeting will be at TASC1 9408 from 1100 hours.

An Overview of Semi-Supervised Learning - Part 2 07 Jul 2014

In this week’s lab meeting, 9th of July, Bruce will present the 2nd half of his talk on semi-supervised learning, and then we will discuss our summer projects and research.The meeting will be at TASC1 9408 from 1100 hours.