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Pseudo Relevance Feedback Using Named Entities for Question Answering

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

Relevance feedback has already proven its usefulness in probabilistic information re- trieval (IR). In this research we explore whether a pseudo relevance feedback tech- nique on IR can improve the …...

28737

Findings of the 2009 Workshop on Statistical Machine Translation

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

This paper presents the results of the WMT09 shared tasks, which included a translation task, a system combination task, and an evaluation task. We con- ducted a large-scale manual evaluation …...

27006

Non-Parametric Bayesian Areal Linguistics

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

We describe a statistical model over linguis- tic areas and phylogeny. Our model recov- ers known areas and identifies a plausible hi- erarchy of areal features. The use of areas …...

24008

Discovering Diverse and Salient Threads in Document Collections

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

We propose a novel probabilistic technique for modeling and extracting salient struc- ture from large document collections. As in clustering and topic modeling, our goal is to provide an organizing …...

44121

Building a Dataset of Multilingual Cognates for the Romanian Lexicon

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractIdentifying cognates is an interesting task with applications in numerous research areas, such as historical and comparative linguistics, language acquisition, cross-lingual information retrieval, readability and machine translation. We propose a …...

16952

Identification of Drug-Related Medical Conditions in Social Media

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractMonitoring social media has been shown to be an interesting approach for the early detection of drug adverse effects. In this paper, we describe a system which extracts medical entities …...

16078

An Enhanced Knowledge Injection Model for Commonsense Generation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractCommonsense generation aims at generating plausible everyday scenario description based on a set of provided concepts. Digging the relationship of concepts from scratch is non-trivial, therefore, we retrieve prototypes from …...

4173

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractLearning to follow instructions is of fundamental importance to autonomous agents for vision-and-language navigation (VLN). In this paper, we study how an agent can navigate long paths when learning from …...

37995

Multimodal Transformer for Multimodal Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMultimodal Machine Translation (MMT) aims to introduce information from other modality, generally static images, to improve the translation quality. Previous works propose various incorporation methods, but most of them do …...

37654

Probing Linguistic Systematicity

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecently, there has been much interest in the question of whether deep natural language understanding (NLU) models exhibit systematicity, generalizing such that units like words make consistent contributions to the …...

38105

Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractSexism, a form of oppression based on one’s sex, manifests itself in numerous ways and causes enormous suffering. In view of the growing number of experiences of sexism reported online, …...

3852

The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe introduce dodecaDialogue: a set of 12 tasks that measures if a conversational agent can communicate engagingly with personality and empathy, ask questions, answer questions by utilizing knowledge resources, discuss …...

37999

Knowledge Guided Metric Learning for Few-Shot Text Classification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractHumans can distinguish new categories very efficiently with few examples, largely due to the fact that human beings can leverage knowledge obtained from relevant tasks. However, deep learning based text …...

21617

Neural Language Modeling for Contextualized Temporal Graph Generation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThis paper presents the first study on using large-scale pre-trained language models for automated generation of an event-level temporal graph for a document. Despite the huge success of neural pre-training …...

21806

On Generative Spoken Language Modeling from Raw Audio

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe introduce Generative Spoken Language Modeling, the task of learning the acoustic and linguistic characteristics of a language from raw audio (no text, no labels), and a set of metrics …...

26826

Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractMost chatbot literature that focuses on improving the fluency and coherence of a chatbot, is dedicated to making chatbots more human-like. However, very little work delves into what really separates …...

21750

Scalable Font Reconstruction with Dual Latent Manifolds

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe propose a deep generative model that performs typography analysis and font reconstruction by learning disentangled manifolds of both font style and character shape. Our approach enables us to massively …...

31855

Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe number of senses of a given word, or polysemy, is a very subjective notion, which varies widely across annotators and resources. We propose a novel method to estimate polysemy …...

42523

Cross-modal Contrastive Attention Model for Medical Report Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractMedical report automatic generation has gained increasing interest recently as a way to help radiologists write reports more efficiently. However, this image-to-text task is rather challenging due to the typical …...

5012

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractKnowledge-grounded dialogue (KGC) shows excellent potential to deliver an engaging and informative response. However, existing approaches emphasize selecting one golden knowledge given a particular dialogue context, overlooking the one-to-many phenomenon …...

31417

A Practical Survey on Zero-Shot Prompt Design for In-Context Learning

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThe remarkable advancements in large language models (LLMs) have brought about significant improvements in Natural Language Processing(NLP) tasks. This paper presents a comprehensive review of in-context learning techniques, focusing on …...

20045

Conjunct Resolution in the Face of Verbal Omissions

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractVerbal omissions are complex syntactic phenomena in VP coordination structures. They occur when verbs and (some of) their arguments are omitted from subsequent clauses after being explicitly stated in an …...

37796

On Prefix-tuning for Lightweight Out-of-distribution Detection

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractOut-of-distribution (OOD) detection, a fundamental task vexing real-world applications, has attracted growing attention in the NLP community. Recently fine-tuning based methods have made promising progress. However, it could be costly …...

38770