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Found 78 papers, 5 papers with code
BeSt: The Belief and Sentiment Corpus
We present the BeSt corpus, which records cognitive state: who believes what (i. e., factuality), and who has what sentiment towards what.
Re-Examining FactBank: Predicting the Author’s Presentation of Factuality
We present a corrected version of a subset of the FactBank data set.
KOJAK: A New Corpus for Studying German Discourse Particle ja
In German, ja can be used as a discourse particle to indicate that a proposition, according to the speaker, is believed by both the speaker and audience.
Finite-state Model of Shupamem Reduplication
Shupamem, a language of Western Cameroon, is a tonal language which also exhibits the morpho-phonological process of full reduplication.
NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
Norm discovery is important for understanding and reasoning about the acceptable behaviors and potential violations in human communication and interactions.
Cultural Vocal Bursts Intensity Prediction
Language Modelling
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains
We develop a ground truth (GT) based on expert annotators and compare our concern detection output to GT, to yield 231% improvement in recall over baseline, with only a 10% loss in precision.
Open-Domain Frame Semantic Parsing Using Transformers
Frame semantic parsing is a complex problem which includes multiple underlying subtasks.
To Test Machine Comprehension, Start by Defining Comprehension
Many tasks aim to measure machine reading comprehension (MRC), often focusing on question types presumed to be difficult.
Email Classification Incorporating Social Networks and Thread Structure
The experimental results reveal that incorporating social network information improves over the performance of an approach based on textual information only.
Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan
These corpora will be publicly available to serve as benchmarks for training and evaluating systems for Arabic dialect morphological analysis and disambiguation.
Syntax-aware Neural Semantic Role Labeling with Supertags
We introduce a new syntax-aware model for dependency-based semantic role labeling that outperforms syntax-agnostic models for English and Spanish.
Automatically Tailoring Unsupervised Morphological Segmentation to the Language
Morphological segmentation is beneficial for several natural language processing tasks dealing with large vocabularies.
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions
Understanding how social power structures affect the way we interact with one another is of great interest to social scientists who want to answer fundamental questions about human behavior, as well as to computer scientists who want to build automatic methods to infer the social contexts of interactions.
End-to-end Graph-based TAG Parsing with Neural Networks
We present a graph-based Tree Adjoining Grammar (TAG) parser that uses BiLSTMs, highway connections, and character-level CNNs.
TAG Parsing with Neural Networks and Vector Representations of Supertags
We present supertagging-based models for Tree Adjoining Grammar parsing that use neural network architectures and dense vector representation of supertags (elementary trees) to achieve state-of-the-art performance in unlabeled and labeled attachment scores.
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification
This model outperforms many deep learning models and achieves comparable results to other deep learning models with complex architectures on sentiment analysis datasets.
Work Hard, Play Hard: Email Classification on the Avocado and Enron Corpora
Combining graph features with lexical features improves the performance on both classifiers.
Dialog Structure Through the Lens of Gender, Gender Environment, and Power
In this paper, we study the interaction of power, gender, and dialog behavior in organizational interactions.
Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages
We investigate using Adaptor Grammars for unsupervised morphological segmentation.
Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine
Arabic dialects present a special problem for natural language processing because there are few resources, they have no standard orthography, and have not been studied much.
Detecting Level of Belief in Chinese and Spanish
There has been extensive work on detecting the level of committed belief (also known as {``}factuality{''}) that an author is expressing towards the propositions in his or her utterances.
Incrementally Learning a Dependency Parser to Support Language Documentation in Field Linguistics
We have created a new parallel corpus of descriptions of spatial relations and motion events, based on pictures and video clips used by field linguists for elicitation of language from native speaker informants.
Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression
Violence is a serious problems for cities like Chicago and has been exacerbated by the use of social media by gang-involved youths for taunting rival gangs.
Using Natural Language Processing and Qualitative Analysis to Intervene in Gang Violence: A Collaboration Between Social Work Researchers and Data Scientists
The U. S. has the highest rate of firearm-related deaths when compared to other industrialized countries.
SPLIT: Smart Preprocessing (Quasi) Language Independent Tool
Text preprocessing is an important and necessary task for all NLP applications.
A Corpus of Wikipedia Discussions: Over the Years, with Topic, Power and Gender Labels
In order to gain a deep understanding of how social context manifests in interactions, we need data that represents interactions from a large community of people over a long period of time, capturing different aspects of social context.
Morphologically Annotated Corpora and Morphological Analyzers for Moroccan and Sanaani Yemeni Arabic
We present new language resources for Moroccan and Sanaani Yemeni Arabic.
Statistical modality tagging from rule-based annotations and crowdsourcing
We explore training an automatic modality tagger.
MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic
In this paper, we present MADAMIRA, a system for morphological analysis and disambiguation of Arabic that combines some of the best aspects of two previously commonly used systems for Arabic processing, MADA (Habash and Rambow, 2005; Habash et al., 2009; Habash et al., 2013) and AMIRA (Diab et al., 2007).
LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual
The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research.
Annotations for Power Relations on Email Threads
In this paper, we describe a multi-layer annotation scheme for social power relations that are recognizable from online written interactions.
Conventional Orthography for Dialectal Arabic
Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken in the Arab world.
The Dependency-Parsed FrameNet Corpus
When training semantic role labeling systems, the syntax of example sentences is of particular importance.
