Ashkan's Master Thesis
20 Sep 2016

On September 20th 2:30pm, during the lab meeting, PHD student Ashkan Alinejad will give a presentation on his master thesis about speech recognition using recurrent neural network solutions.

Zhelun's Thesis Defence
20 Jul 2016

On July 20th 2016, Zhelun Wu gave his master thesis defence on the topic of “Decipherment of Evasive or Encrypted Offensive Text”.

Here is the Abstract: A very common computational task in monitoring online chat sessions is stopping users from sending malicious chat messages. Examples of malicious messages include age-inappropriate language, cyber-bullying, and sending out personal information. Rule based filtering systems are commonly used to deal with this problem, but not all of the malicious messages can be filtered out as people invent increasingly subtle ways to disguise their malicious messages to bypass such filtering systems. Machine learning classifiers can also be used to identify and filter malicious messages. However, such classifiers still rely on training data that becomes out of date and new forms of malicious text cannot be detected by the classifier. In this thesis, to solve this problem we model the messages corrupted by a malicious user to bypass a chat filter as a cipher text. We apply automatic decipherment techniques using Expectation-Maximization with Hidden Markov Models and a beam search algorithm in order to decrypt corrupted malicious text back into plain text which can be then filtered using rules or a classifier.

Joint Prediction of Word Alignment with Alignment Types
22 Jun 2016

At the June 22nd lab meeting (11:30am), Anahita will talk about Joint Prediction of Word Alignment with Alignment Types.

Abstract: Probabilistic models for word alignment do not distinguish between different types of word alignment links. We provide a new probabilistic model for word alignment in which alignments are associated with linguistically motivated alignment types. We provide a novel task of joint prediction of word alignment and alignment types.

Andrei's GPU Parsing Presentation
19 May 2016

On May 25th 11:30am, Andrei will give a presentation on the CKY algorithm and Canny, Hall, and Klein’s 2013 paper “A Multi-Teraflop Constituency Parser using GPUs.”

NW-NLP 2016
18 May 2016

Several lab members will be traveling to the North West NLP Workshop NW-NLP 2016 in Seattle, USA on Friday May 20th.

The workshop is hosted by Amazon, Inc. at Suite 700, 1220 Howell Street, Seattle WA.

The following papers from the SFU Natlang Lab will be presented there:

  • Talk at 10am: Improving Statistical Machine Translation with a Multilingual Paraphrase Database, Ramtin M. Seraj, Maryam Siahbani, and Anoop Sarkar
  • Posters at 12:30pm:
    • Learning Segmentations that Balance Latency versus Quality in Spoken Language Translation, Hassan S. Shavarani, Maryam Siahbani, Ramtin Mehdizadeh Seraj, Anoop Sarkar.
    • Evaluating classification accuracy of funding for research in the Brazilian Federal Official Gazette, Paulo Marques and Fred Popowich.
    • Recommending Alternate Reading Materials Using Probabilistic Topic Models, Lydia Odilinye and Fred Popowich.
    • Visualizing Political Press Briefings For Changes In Stance Between Agents, Milan Tofiloski and Fred Popowich.

Also presenting from SFU Linguistics:

  • Talk at 3:30pm: Mapping different rhetorical relation annotations: a proposal, Farah Benamara and Maite Taboada.

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