10:43

Lecture 39 — Recommender Systems Content based Filtering -- Part 2 | UIUC

12:56

Lecture 38 — Recommender Systems Content based Filtering -- Part 1 | UIUC

13:10

Lecture 37 — Future of Web Search | UIUC

04:59

Lecture 36 — Learning to Rank -- Part 3 | UIUC

10:25

Lecture 35 — Learning to Rank -- Part 2 | UIUC

05:55

Lecture 34 — Learning to Rank -- Part 1 | UIUC

06:00

Lecture 33 — Link Analysis -- Part 3 | UIUC

17:32

Lecture 32 — Link Analysis -- Part 2 | UIUC

09:17

Lecture 31 — Link Analysis -- Part 1 | UIUC

17:20

Lecture 30 — Web Indexing | UIUC

11:06

Lecture 29 — Web Search Introduction & Web Crawler | UIUC

19:12

Lecture 28 — Feedback in Text Retrieval Feedback in LM | UIUC

12:06

Lecture 27 — Feedback in Vector Space Model | UIUC

06:21

Lecture 40 — Recommender Systems Collaborative Filtering -- Part 1 | UIUC

12:10

Lecture 41 — Recommender Systems Collaborative Filtering -- Part 2 | UIUC

04:46

Lecture 42 — Recommender Systems Collaborative Filtering -- Part 3

09:49

Lecture 43 — Course Summary | UIUC

06:50

Lecture 26 — Feedback in Text Retrieval | UIUC

17:12

Lecture 12 — System Implementation Fast Search | UIUC

10:11

Lecture 13 — Evaluation of TR Systems | UIUC

12:55

Lecture 14 — Evaluation of TR Systems Basic Measures | UIUC

15:52

Lecture 15 —Evaluation of TR Systems Evaluating Ranked Lists -- Part 1 | UIUC

10:02

Lecture 16 — Evaluation of TR Systems Evaluating Ranked Lists -- Part 2 | UIUC

10:49

Lecture 17 — Evaluation of TR Systems Multi Level Judgements | UIUC

15:15

Lecture 18 — Evaluation of TR Systems Practical Issues | UIUC

12:45

Lecture 19 — Probabilistic Retrieval Model Basic Idea | UIUC

17:54

Lecture 20 — Statistical Language Models | UIUC

12:08

Lecture 21 — Query Likelihood Retrieval Function | UIUC

12:16

Lecture 22 — Smoothing of Language Model -- Part 1 | UIUC

09:37

Lecture 23 — Smoothing of Language Model -- Part 2 | UIUC

09:55

Lecture 24 — Smoothing Methods -- Part 1 | UIUC

13:18

Lecture 25 — Smoothing Methods -- Part 2 | UIUC

18:22

Lecture 11 —System Implementation Inverted Index Construction | UIUC

21:28

Lecture 10 — Implementation of TR Systems | UIUC

18:57

Lecture 9 — Doc Length Normalization | UIUC

09:32

Lecture 8 — TF Transformation | UIUC

16:53

Lecture 7 — Vector Space Model Improved Instantiation | UIUC

17:32

Lecture 6 — Vector Space Model Simplest Instantiation | UIUC

09:45

Lecture 5 — Vector Space Model Basic Idea | UIUC

10:11

Lecture 4 — Overview of Text Retrieval Methods | UIUC

26:19

Lecture 3 — Text Retrieval Problem | UIUC

09:25

Lecture 2 —Text Access | UIUC

21:06

Lecture 1 — Natural Language Content Analysis | UIUC

14:46

Handling Cold Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors

17:11

Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification

18:25

Leveraging Behavioral and Social Information for Political Discourse on Twitter

12:07

A Two stage Parsing Method for Text level Discourse Analysis | ACL 2017 | Outstanding Paper

20:46

EmoNet Fine Grained Emotion Detection with Gated Recurrent Neural Networks | ACL 2017

19:45

Enriching Word Vectors with Subword Information | ACL 2017 | Outstanding Paper

18:44

Evaluation Metrics for Machine Reading Comprehension Prerequisite Skills and Readability | ACL 2017

16:41

Joint Modeling of Content and Discourse Relations in Dialogues | ACL 2017

20:28

Neural Discourse Structure for Text Categorization | ACL 2017 | Outstanding Paper

18:09

On the Challenges of Translating NLP Research into Commercial Products | ACL 2017

14:26

Sentence Alignment Methods for Improving Text Simplification Systems | ACL 2017

18:00

Towards an Automatic Turing Test Learning to Evaluate Dialogue Responses | ACL 2017

18:03

A Nested Attention Neural Hybrid Model for Grammatical Error Correction | ACL 2017

19:47

Cross Sentence N ary Relation Extraction with Graph LSTMs | ACL 2017 | Outstanding Paper

16:22

Exploring Neural Text Simplification Models | ACL 2017 | Outstanding Paper

19:24

Friendships, Rivalries, and Trysts Characterizing Relations between Ideas in Texts Chenhao Tan,

11:16

TextFlow A Text Similarity Measure based on Continuous Sequences | ACL 2017