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Supervised language modeling for temporal resolution of texts

Abhimanu Kumar, Matthew Lease, Jason Baldridge
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
We investigate temporal resolution of documents, such as determining the date of publication of a story based on its text.  ...  We construct histograms based on the Kullback-Leibler Divergence between the language model for a test document and supervised language models for each interval.  ...  Commons Fellowship for Matthew Lease and by a grant from the Morris Memorial Trust Fund of the New York Community Trust.  ... 
doi:10.1145/2063576.2063892 dblp:conf/cikm/KumarLB11 fatcat:keolkbwsujhitd7ja7imlfsipa

Towards Unsupervised Learning of Temporal Relations between Events

S.A. Mirroshandel, G. Ghassem-Sani
2012 The Journal of Artificial Intelligence Research  
The first algorithm is a weakly supervised machine learning approach for classification of temporal relations between events.  ...  Since most existing methods are supervised and require large corpora, which for many languages do not exist, we have concentrated our efforts to reduce the need for annotated data as much as possible.  ...  A System for Co-Reference Resolution in English and Persian Languages Under supervision of Professor Ghassem-Sani. Our work will lead to a system for co-reference resolution in English and Persian.  ... 
doi:10.1613/jair.3693 fatcat:zgv6ep4ss5eorfrlhxuufkslpa

Natural Language Processing for Information Extraction [article]

Sonit Singh
2018 arXiv   pre-print
Language Processing (NLP) tasks such as Machine Translation, Question-Answering System, Natural Language Understanding, Text Summarization and Digital Assistants like Siri, Cortana and Google Now.  ...  Information Extraction systems takes natural language text as input and produces structured information specified by certain criteria, that is relevant to a particular application.  ...  Hence, temporal expression (also called timex)refers to the task of detecting phrases in natural language text that denote a unit of temporal entity in the form of an interval, a particular instance of  ... 
arXiv:1807.02383v1 fatcat:3bdyidbjp5hn7c2w4iqve4ajvi

Timeline extraction using distant supervision and joint inference

Savelie Cornegruta, Andreas Vlachos
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
The noisy training data created allows us to learn models that anchor events to temporal expressions and entities; during testing, the predictions of these models are combined to produce the timeline.  ...  Due to the lack of explicitly annotated data, previous work is primarily rule-based and uses pre-trained temporal linking systems.  ...  Acknowledgments Part of this work was conducted while both authors were at University College London. The authors would like to thank Leon Derczynski for his feedback on an earlier version.  ... 
doi:10.18653/v1/d16-1200 dblp:conf/emnlp/CornegrutaV16 fatcat:qiw54uz2dbbhro6r7kvbsglbb4

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text [article]

Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong
2021 arXiv   pre-print
, and text-to-video retrieval.  ...  Transferring to image classification leads to 78.7% top-1 accuracy on ImageNet compared to 64.7% by training the same Transformer from scratch, showing the generalizability of our model despite the domain  ...  Acknowledgements: We would like to thank Min-Hsuan Tsai, Jean-Baptise Alayrac, Andrew Audibert, Yeqing Li, Vidush Mukund, and the TensorFlow team for their help with codes, infrastructure, and insightful  ... 
arXiv:2104.11178v3 fatcat:whpa4ulskfcttgiylo4q24vnpe

A Melody-Unsupervision Model for Singing Voice Synthesis [article]

Soonbeom Choi, Juhan Nam
2022 arXiv   pre-print
The model can be fine-tuned by adjusting the amount of supervision with temporally aligned melody labels.  ...  The temporal alignment is a time-exhausting manual work in preparing for the training data.  ...  We also fine-tuned the model by adjusting the amount of supervision with melody and temporally alignment.  ... 
arXiv:2110.06546v2 fatcat:ren3oknserelvn62ysct2y5q74

Extracting event and their relations from texts: A survey on recent research progress and challenges

Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao
2020 AI Open  
; 2) how to extract relations across sentences or in a document level; 3) how to acquire or augment labeled instances for model training.  ...  How to identify events from texts, extract their arguments, even analyze the relations between different events are important for many applications.  ...  Priority Research Program of Chinese Academy of Sciences (Grant No.  ... 
doi:10.1016/j.aiopen.2021.02.004 fatcat:qxbcmk55vzcb5nznhgfgwrbe4u

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer [article]

Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal
2021 arXiv   pre-print
Recently, vokenization (Tan and Bansal, 2020) has attracted attention by using the predictions of a text-to-image retrieval model as labels for language model supervision.  ...  Lastly, we present comprehensive ablation studies as well as visualizations of the learned text-to-video grounding results of our teacher and student language models.  ...  The views, opinions, and/or findings contained in this article are those of the authors and not of the funding agency.  ... 
arXiv:2107.02681v2 fatcat:etpkmmnjpjbkzkfawritb6brhm

Application of natural language processing algorithms for extracting information from news articles in event-based surveillance

Victoria Ng, Erin E Rees, Jingcheng Niu, Abdelhamid Zaghlool
2020 Canada Communicable Disease Report  
The focus of this article is the application of natural language processing (NLP) for information extraction in event-based surveillance (EBS) systems.  ...  Text summarization in NLP is normally developed using supervised ML models trained on corpora.  ...  Common algorithms include hidden Markov models (HMM), decision trees, maximum entropy estimation models, support vector machines (SVM) and conditional random fields (CRF) Synonyms Words of the same language  ... 
doi:10.14745/ccdr.v46i06a06 fatcat:wj2sovzv4jawldrzggvpepygsq

Transformers in Vision: A Survey [article]

Salman Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah
2021 arXiv   pre-print
Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems.  ...  This survey aims to provide a comprehensive overview of the Transformer models in the computer vision discipline.  ...  We would also like to thank Mohamed Afham for his help with a figure.  ... 
arXiv:2101.01169v4 fatcat:ynsnfuuaize37jlvhsdki54cy4

ActionCLIP: A New Paradigm for Video Action Recognition [article]

Mengmeng Wang, Jiazheng Xing, Yong Liu
2021 arXiv   pre-print
Specifically, we model this task as a video-text matching problem within a multimodal learning framework, which strengthens the video representation with more semantic language supervision and enables  ...  Moreover, to handle the deficiency of label texts and make use of tremendous web data, we propose a new paradigm based on this multimodal learning framework for action recognition, which we dub "pre-train  ...  Acknowledgements We would like to thank Zeyi Huang for his constructive suggestions and comments on this work.  ... 
arXiv:2109.08472v1 fatcat:dwtb4xtf6bcbfmbjq5eif5hzgi

Multi-Resolution Language Grounding with Weak Supervision

R. Koncel-Kedziorski, Hannaneh Hajishirzi, Ali Farhadi
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
Our method results in an F1 improvement of more than 48% versus the previous state of the art for fine-resolution grounding 1 .  ...  Language is given meaning through its correspondence with a world representation. This correspondence can be at multiple levels of granularity or resolutions.  ...  The authors also wish to thank Gina-Anne Levow, Yoav Artzi, Ben Hixon, and the anonymous reviewers for their valuable feedback on this work.  ... 
doi:10.3115/v1/d14-1043 dblp:conf/emnlp/Koncel-KedziorskiHF14 fatcat:bwhb3pk4qbeu7ai73rz4ujolzi


Sakshi .
2018 International Journal of Advanced Research in Computer Science  
For example: person, location, organization, city, state, and country etc. NER is acknowledged as the dominant task in the field of Natural Language Processing (NLP).  ...  Information Extraction goes into the more challenging task due to the availability of data in the form of documents written in the natural language.  ...  [21] developed the mixed approach that comprises of maximum entropy (ME) model, language specific rules and gazetteers for the effort of NER.  ... 
doi:10.26483/ijarcs.v9i3.6093 fatcat:dul72z4x3rgmngtsmy4vjourny

TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

Jeniya Tabassum, Alan Ritter, Wei Xu
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
Most previous work in social media analysis has to rely on temporal resolvers that are designed for well-edited text, and therefore suffer from reduced performance due to domain mismatch.  ...  We describe TweeTIME, a temporal tagger for recognizing and normalizing time expressions in Twitter.  ...  , of ODNI, IARPA, AFRL, or the U.S.  ... 
doi:10.18653/v1/d16-1030 dblp:conf/emnlp/TabassumRX16 fatcat:mq6tpzjejzecfo7jisbwx75hfe

Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos [article]

De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles
2017 arXiv   pre-print
state-of-the-art linguistic only model on reference resolution in instructional videos.  ...  We propose an unsupervised method for reference resolution in instructional videos, where the goal is to temporally link an entity (e.g., "dressing") to the action (e.g., "mix yogurt") that produced it  ...  This research was sponsored in part by grants from the Stanford AI Lab-Toyota Center for Artificial Intelligence Research, the Office of Naval Research (N00014-15-1-2813), and the ONR MURI (N00014-16-1  ... 
arXiv:1703.02521v2 fatcat:qut4dkdbyrabhgih6e6nhgoupa
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