In our lab meeting this week, Varada Kolhatkar from linguistics department will join us and talk about Understanding Discourse From Resolving Complex Anaphora to Identifying Constructive News Comments. Here is the title and abstract of her talk:
Title: Understanding Discourse: From Resolving Complex Anaphora to Identifying Constructive News Comments
Abstract: Recently, computational linguists have been increasingly interested in understanding discourse. This talk focuses on two prominent issues related to understanding discourse structure: (a) resolving complex cases of anaphora which depends on understanding how discourse is constructed and maintained, and (b) identifying constructive reader comments which requires the analysis of discourse at the pragmatic level.
The goal of the first project is to develop computational methods for tackling cases of anaphora where the antecedents are typically of a non-nominal syntactic form and the referents typically represent proposition-like entities, as shown in example (1). This research is guided by two primary questions: first, how an automated process can determine the interpretation of such expressions, and second, to what extent the knowledge derived from the linguistics literature can help in this process.
(1) Living expenses are much lower in rural India than in New York, but this fact is not fully captured if prices are converted with currency exchange rates.
The goal of the second project is to encourage constructive discussion online. In particular, I will talk about identifying constructive news comments. This research is guided by three questions: a) what characteristics make a reader comment constructive, b) how can an automated process determine constructive language in news comments and c) how do constructiveness and toxicity interact in online language. The methods which are being developed can assist in moderation tasks, typically performed by humans, such as promoting constructive comments and summarizing reader comments.
Wednesday, March 14th, 10-11 AM, Location: TASC1 9408.
In our first lab meeting in March, Anoop will talk about computational morphology. Here is the title and abstract of his talk:
Title: The K&K result
Abstract: Kaplan and Kay (henceforth K&K) announce two goals: “to provide the core of a mathematical framework for phonology” and “to establish a solid basis for computation in thedomain of phonological and orthographic systems.” They show how the algebra of regular relations, with their corresponding automata, can be used to compile systems of phonological rules in the style of SPE, including directionality, optionality, and ordering. They sketch mechanisms for incorporating a lexicon and for dealing with exceptional forms, thus providing a complete treatment in a unified framework. (text from “Commentary on Kaplan and Kay by Mark Liberman)
Wednesday, March 7th, 10-11 AM, Location: TASC1 9408.
Tomorrow, we are going to have a shared lab meeting with Oliver Schulte and his group, to introduce the work done in our lab and talk about our recent submissions to conferences. Feel free to join us if you are curious about our ongoing research. Wednesday, Feb 28, 10-11 AM, Location: TASC1 9408.
In our lab meeting tommorow, Hassan will give us an overview of the syntax-aware NMT systems. here’s the abstract of his talk:
The idea to take advantage of syntax in Machine Translation to produce better translations has been suggested many years ago (Williams et al., 2016) and was used by many state-of-the-art Statistical Machine Translation models of the time, e.g. Hiero (Chiang, 2005), SAMT (Zollmann and Venugopal, 2006) and “GHKM rules” based models (Galley et al., 2006). Neural Machine Translation systems, however, were initially introduced without explicitly taking the syntax into account while performing the translation. Recently, Syntax-aware Neural Machine Translation systems are examining the idea to take advantage of the syntax of the sentences being translated while doing the best practices of NMT. This talk is going to perform a brief overview of the recent works done in the area of Syntax-aware Neural Machine Translation systems.
Wednesday, Feb 14, 10-11 AM, Location: TASC1 9408.
This semester We have scheduled our lab meeting for Wednesdays 10-11 A.M. in TASC1 9408. For this week everyone will give a brief presentation about their ongoing research.