Paper Group NANR 10
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets. ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews. The Kyoto University Cross-Lingual Pronoun Translation System. …
INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets
| Title | INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets |
| Authors | Marcelo Dias, Karin Becker |
| Abstract | |
| Tasks | Opinion Mining, Sentiment Analysis, Stance Detection |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/S16-1061/ |
| https://www.aclweb.org/anthology/S16-1061 | |
| PWC | https://paperswithcode.com/paper/inf-ufrgs-opinion-mining-at-semeval-2016-task |
| Repo | |
| Framework | |
ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews
| Title | ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews |
| Authors | Mengxiao Jiang, Zhihua Zhang, Man Lan |
| Abstract | |
| Tasks | Aspect-Based Sentiment Analysis, Sentiment Analysis |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/S16-1058/ |
| https://www.aclweb.org/anthology/S16-1058 | |
| PWC | https://paperswithcode.com/paper/ecnu-at-semeval-2016-task-5-extracting |
| Repo | |
| Framework | |
The Kyoto University Cross-Lingual Pronoun Translation System
| Title | The Kyoto University Cross-Lingual Pronoun Translation System |
| Authors | Raj Dabre, Yevgeniy Puzikov, Fabien Cromieres, Sadao Kurohashi |
| Abstract | |
| Tasks | Lemmatization, Machine Translation, Word Embeddings |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2349/ |
| https://www.aclweb.org/anthology/W16-2349 | |
| PWC | https://paperswithcode.com/paper/the-kyoto-university-cross-lingual-pronoun |
| Repo | |
| Framework | |
Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections
| Title | Applying deep learning on electronic health records in Swedish to predict healthcare-associated infections |
| Authors | Olof Jacobson, Hercules Dalianis |
| Abstract | |
| Tasks | Text Classification |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2926/ |
| https://www.aclweb.org/anthology/W16-2926 | |
| PWC | https://paperswithcode.com/paper/applying-deep-learning-on-electronic-health |
| Repo | |
| Framework | |
A study of attention-based neural machine translation model on Indian languages
| Title | A study of attention-based neural machine translation model on Indian languages |
| Authors | Ayan Das, Pranay Yerra, Ken Kumar, Sudeshna Sarkar |
| Abstract | Neural machine translation (NMT) models have recently been shown to be very successful in machine translation (MT). The use of LSTMs in machine translation has significantly improved the translation performance for longer sentences by being able to capture the context and long range correlations of the sentences in their hidden layers. The attention model based NMT system (Bahdanau et al., 2014) has become the state-of-the-art, performing equal or better than other statistical MT approaches. In this paper, we wish to study the performance of the attention-model based NMT system (Bahdanau et al., 2014) on the Indian language pair, Hindi and Bengali, and do an analysis on the types or errors that occur in case when the languages are morphologically rich and there is a scarcity of large parallel training corpus. We then carry out certain post-processing heuristic steps to improve the quality of the translated statements and suggest further measures that can be carried out. |
| Tasks | Machine Translation |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-3717/ |
| https://www.aclweb.org/anthology/W16-3717 | |
| PWC | https://paperswithcode.com/paper/a-study-of-attention-based-neural-machine |
| Repo | |
| Framework | |
Dedicated Workflow Management for OKBQA Framework
| Title | Dedicated Workflow Management for OKBQA Framework |
| Authors | Jiseong Kim, GyuHyeon Choi, Key-Sun Choi |
| Abstract | Nowadays, a question answering (QA) system is used in various areas such a quiz show, personal assistant, home device, and so on. The OKBQA framework supports developing a QA system in an intuitive and collaborative ways. To support collaborative development, the framework should be equipped with some functions, e.g., flexible system configuration, debugging supports, intuitive user interface, and so on while considering different developing groups of different domains. This paper presents OKBQA controller, a dedicated workflow manager for OKBQA framework, to boost collaborative development of a QA system. |
| Tasks | Question Answering, Reading Comprehension |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-4414/ |
| https://www.aclweb.org/anthology/W16-4414 | |
| PWC | https://paperswithcode.com/paper/dedicated-workflow-management-for-okbqa |
| Repo | |
| Framework | |
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
| Title | Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods |
| Authors | Cristina Savin, Gasper Tkacik |
| Abstract | Jointly characterizing neural responses in terms of several external variables promises novel insights into circuit function, but remains computationally prohibitive in practice. Here we use gaussian process (GP) priors and exploit recent advances in fast GP inference and learning based on Kronecker methods, to efficiently estimate multidimensional nonlinear tuning functions. Our estimator require considerably less data than traditional methods and further provides principled uncertainty estimates. We apply these tools to hippocampal recordings during open field exploration and use them to characterize the joint dependence of CA1 responses on the position of the animal and several other variables, including the animal’s speed, direction of motion, and network oscillations.Our results provide an unprecedentedly detailed quantification of the tuning of hippocampal neurons. The model’s generality suggests that our approach can be used to estimate neural response properties in other brain regions. |
| Tasks | |
| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6153-estimating-nonlinear-neural-response-functions-using-gp-priors-and-kronecker-methods |
| http://papers.nips.cc/paper/6153-estimating-nonlinear-neural-response-functions-using-gp-priors-and-kronecker-methods.pdf | |
| PWC | https://paperswithcode.com/paper/estimating-nonlinear-neural-response |
| Repo | |
| Framework | |
Identification of Mentions and Relations between Bacteria and Biotope from PubMed Abstracts
| Title | Identification of Mentions and Relations between Bacteria and Biotope from PubMed Abstracts |
| Authors | Cyril Grouin |
| Abstract | |
| Tasks | Knowledge Base Population, Named Entity Recognition, Relation Extraction |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-3008/ |
| https://www.aclweb.org/anthology/W16-3008 | |
| PWC | https://paperswithcode.com/paper/identification-of-mentions-and-relations |
| Repo | |
| Framework | |
Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016
| Title | Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016 |
| Authors | Farrokh Mehryary, Jari Bj{"o}rne, Sampo Pyysalo, Tapio Salakoski, Filip Ginter |
| Abstract | |
| Tasks | Named Entity Recognition, Relation Extraction |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-3009/ |
| https://www.aclweb.org/anthology/W16-3009 | |
| PWC | https://paperswithcode.com/paper/deep-learning-with-minimal-training-data |
| Repo | |
| Framework | |
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
| Title | Probabilistic Inference with Generating Functions for Poisson Latent Variable Models |
| Authors | Kevin Winner, Daniel R. Sheldon |
| Abstract | Graphical models with latent count variables arise in a number of fields. Standard exact inference techniques such as variable elimination and belief propagation do not apply to these models because the latent variables have countably infinite support. As a result, approximations such as truncation or MCMC are employed. We present the first exact inference algorithms for a class of models with latent count variables by developing a novel representation of countably infinite factors as probability generating functions, and then performing variable elimination with generating functions. Our approach is exact, runs in pseudo-polynomial time, and is much faster than existing approximate techniques. It leads to better parameter estimates for problems in population ecology by avoiding error introduced by approximate likelihood computations. |
| Tasks | Latent Variable Models |
| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6587-probabilistic-inference-with-generating-functions-for-poisson-latent-variable-models |
| http://papers.nips.cc/paper/6587-probabilistic-inference-with-generating-functions-for-poisson-latent-variable-models.pdf | |
| PWC | https://paperswithcode.com/paper/probabilistic-inference-with-generating |
| Repo | |
| Framework | |
A lexicon of perception for the identification of synaesthetic metaphors in corpora
| Title | A lexicon of perception for the identification of synaesthetic metaphors in corpora |
| Authors | Francesca Strik Lievers, Chu-Ren Huang |
| Abstract | Synaesthesia is a type of metaphor associating linguistic expressions that refer to two different sensory modalities. Previous studies, based on the analysis of poetic texts, have shown that synaesthetic transfers tend to go from the lower toward the higher senses (e.g., sweet music vs. musical sweetness). In non-literary language synaesthesia is rare, and finding a sufficient number of examples manually would be too time-consuming. In order to verify whether the directionality also holds for conventional synaesthesia found in non-literary texts, an automatic procedure for the identification of instances of synaesthesia is therefore highly desirable. In this paper, we first focus on the preliminary step of this procedure, that is, the creation of a controlled lexicon of perception. Next, we present the results of a small pilot study that applies the extraction procedure to English and Italian corpus data. |
| Tasks | |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1360/ |
| https://www.aclweb.org/anthology/L16-1360 | |
| PWC | https://paperswithcode.com/paper/a-lexicon-of-perception-for-the |
| Repo | |
| Framework | |
Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper)
| Title | Inside-Outside and Forward-Backward Algorithms Are Just Backprop (tutorial paper) |
| Authors | Jason Eisner |
| Abstract | |
| Tasks | Structured Prediction |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/W16-5901/ |
| https://www.aclweb.org/anthology/W16-5901 | |
| PWC | https://paperswithcode.com/paper/inside-outside-and-forward-backward |
| Repo | |
| Framework | |
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
| Title | TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble |
| Authors | Martin Tutek, Ivan Sekuli{'c}, Paula Gombar, Ivan Paljak, Filip {\v{C}}ulinovi{'c}, Filip Boltu{\v{z}}i{'c}, Mladen Karan, Domagoj Alagi{'c}, Jan {\v{S}}najder |
| Abstract | |
| Tasks | Stance Detection |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/S16-1075/ |
| https://www.aclweb.org/anthology/S16-1075 | |
| PWC | https://paperswithcode.com/paper/takelab-at-semeval-2016-task-6-stance |
| Repo | |
| Framework | |
An Ontology for Language Service Composability
| Title | An Ontology for Language Service Composability |
| Authors | Yohei Murakami, Takao Nakaguchi, Donghui Lin, Toru Ishida |
| Abstract | Fragmentation and recombination is a key to create customized language environments for supporting various intercultural activities. Fragmentation provides various language resource components for the customized language environments and recombination builds each language environment according to user{'}s request by combining these components. To realize this fragmentation and recombination process, existing language resources (both data and programs) should be shared as language services and combined beyond mismatch of their service interfaces. To address this issue, standardization is inevitable: standardized interfaces are necessary for language services as well as data format required for language resources. Therefore, we have constructed a hierarchy of language services based on inheritance of service interfaces, which is called language service ontology. This ontology allows users to create a new customized language service that is compatible with existing ones. Moreover, we have developed a dynamic service binding technology that instantiates various executable customized services from an abstract workflow according to user{'}s request. By using the ontology and service binding together, users can bind the instantiated language service to another abstract workflow for a new customized one. |
| Tasks | |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-5209/ |
| https://www.aclweb.org/anthology/W16-5209 | |
| PWC | https://paperswithcode.com/paper/an-ontology-for-language-service |
| Repo | |
| Framework | |
Between Platform and APIs: Kachako API for Developers
| Title | Between Platform and APIs: Kachako API for Developers |
| Authors | Yoshinobu Kano |
| Abstract | Different types of users require different functions in NLP software. It is difficult for a single platform to cover all types of users. When a framework aims to provide more interoperability, users are required to learn more concepts; users{'} application designs are restricted to be compliant with the framework. While an interoperability framework is useful in certain cases, some types of users will not select the framework due to the learning cost and design restrictions. We suggest a rather simple framework for the interoperability aiming at developers. Reusing an existing NLP platform Kachako, we created an API oriented NLP system. This system loosely couples rich high-end functions, including annotation visualizations, statistical evaluations, an-notation searching, etc. This API do not require users much learning cost, providing customization ability for power users while also allowing easy users to employ many GUI functions. |
| Tasks | |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-5210/ |
| https://www.aclweb.org/anthology/W16-5210 | |
| PWC | https://paperswithcode.com/paper/between-platform-and-apis-kachako-api-for |
| Repo | |
| Framework | |
