Articles

Research on automatically geolocating social media users has conventionally been based on the text content of posts from a given user or the social network of the user, with very lit- tle crossover between the two, and no bench- marking of the two approaches over compara- ble datasets. We bring …...

We present a large-scale Native Language Identification (NLI) experiment on new data, with a focus on cross-corpus evaluation to identify corpus- and genre-independent lan- guage transfer features. We test a new corpus and show it is comparable to other NLI cor- pora and suitable for this task. Cross-corpus evaluation on …...

Natural language processing (NLP) annota- tion projects employ guidelines to maximize inter-annotator agreement (IAA), and models are estimated assuming that there is one single ground truth. However, not all disagreement is noise, and in fact some of it may contain valu- able linguistic information. We integrate such information in the …...

Open domain relation extraction systems iden- tify relation and argument phrases in a sen- tence without relying on any underlying schema. However, current state-of-the-art re- lation extraction systems are available only for English because of their heavy reliance on linguistic tools such as part-of-speech tag- gers and dependency parsers. We …...

Developing a system that can automatically respond to a user’s utterance has recently be- come a topic of research in natural language processing. However, most works on the topic take into account only a single preceding ut- terance to generate a response. Recent works demonstrate that the application of statisti- …...

Response-based learning allows to adapt a sta- tistical machine translation (SMT) system to an extrinsic task by extracting supervision sig- nals from task-specific feedback. In this pa- per, we elicit response signals for SMT adap- tation by executing semantic parses of trans- lated queries against the Freebase database. The challenge …...

Online shopping caters the needs of millions of users on a daily basis. To build an accurate system that can retrieve relevant products for a query like “MB252 with travel bags” one requires product and query categorization mechanisms, which classify the text Home&Garden>Kitchen&Dining>Kitchenas Appliances>Blenders. One of the biggest challenges in …...

Voice conversion is the task of transforming a source speaker’s voice so that it sounds like a target speaker’s voice. We present a GPU- friendly local regression model for voice con- version that is capable of converting speech in real-time and achieves state-of-the-art ac- curacy on this task. Our model …...

We present the first truly streaming cross doc- ument coreference resolution (CDC) system. Processing infinite streams of mentions forces us to use a constant amount of memory and so we maintain a representative, fixed sized sam- ple at all times. For the sample to be repre- sentative it should represent …...

Integer Linear Programming (ILP) based sum- marization methods have been widely adopted recently because of their state-of-the-art per- formance. This paper proposes two new mod- ifications in this framework for update sum- marization. Our key idea is to use discrimi- native models with a set of features to mea- sure …...

Unsupervised word embeddings have been shown to be valuable as features in supervised learning problems; however, their role in unsu- pervised problems has been less thoroughly ex- plored. In this paper, we show that embeddings can likewise add value to the problem of unsu- pervised POS induction. In two representative …...

This paper presents an annotation scheme for adding entity and event target annotations to the MPQA corpus, a rich span-annotated opin- ion corpus. The new corpus promises to be a valuable new resource for developing sys- tems for entity/event-level sentiment analysis. Such systems, in turn, would be valuable in NLP …...

We present the LIMSI submission to the Mul- tilingual Word Sense Disambiguation and En- tity Linking task of SemEval-2015. The sys- tem exploits the parallelism of the multilin- gual test data and uses translations as source of indirect supervision for sense selection. The LIMSI system gets best results in English …...

Continuous word and phrase vectors have proven useful in a number of NLP tasks. Here we describe our experience using them as a source of features for the SemEval-2015 task 3, consisting of two community question an- swering subtasks: Answer Selection for cate- gorizing answers as potential, good, and bad …...

We present ExB Themis – a word alignment- based semantic textual similarity system de- veloped for SemEval-2015 Task 2: Semantic Textual Similarity. It combines both string and semantic similarity measures as well as align- ment features using Support Vector Regres- sion. It occupies the first three places on Span- ish …...

Community Question Answering (cQA) pro- vides new interesting research directions to the traditional Question Answering (QA) field, e.g., the exploitation of the interaction between users and the structure of related posts. In this context, we organized SemEval- 2015 Task 3 on Answer Selection in cQA, which included two subtasks: (a) …...

In semantic textual similarity (STS), systems rate the degree of semantic equivalence be- tween two text snippets. This year, the par- ticipants were challenged with new datasets in English and Spanish. The annotations for both subtasks leveraged crowdsourcing. The En- glish subtask attracted 29 teams with 74 sys- tem runs, …...

Open forum threads exhibit a great variabil- ity in the quality and quantity of the answers they attract, making it difficult to manually moderate and separate relevant from irrelevant content. The goal of SemEval 2015 Task 3 (Subtask A, English) is to build systems that automatically distinguish between relevant and …...

The purpose of this paper is to describe our submission to the SemEval-2015 Task 3 on Answer Selection in Community Question Answering. We participated in subtask A, where the systems had to classify community answers for a given question as definitely rel- evant, potentially useful, or irrelevant. For ev- ery …...

This paper reports our submissions to com- munity question answering task in SemEval- 2015, which consists of two subtasks: (1) pre- dict the quality of answers to given question as good, bad, or potentially relevant and (2) identify yes, no or unsure response to a given YES/NO question based on …...